Read multiple images, feature extraction from each of those images and then storing features in a separate array as well as in each row of a csv or excel file

I would like to know, how to read a large number of images in a folder and at the same time I want to extract different types of features from those images and save each type of feature extracted from each image in a separate array. Moreover, I want to store each type of feature extracted from each image in each row of a specific csv file or excel file (.xlsx, .xls format). The extracted features are LBP, HOG, GLCM texture features, ORB, SURF, MSER and KAZE.

For example,suppose I have 400 images, I want to extract each type of features from each image and save each type of feature extracted from each image in a separate array. Then, I want to store each type of feature extracted from each image in each row of a specific csv file or excel file (.xlsx, .xls format).

Thank You.

[chetna kaushal]

could you let me know that surf , orb , sift all these algorithms return different features vector for each image. the value is different. so how can you come up with one single feature vector for all the image for one feature extrction algorithm.

Answer 1

[chetna kaushal]

USE XLSWRITE IN CELL STRCTURE TO SAVE

Answer 2

[yacine mansouri]

hey can i have your code please